Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Recommender system for the efficient treatment of COVID-19 using a convolutional neural network model and image similarity
Background: Hospitals face a significant problem meeting patients' medical needs during
epidemics, especially when the number of patients increases rapidly, as seen during the …
epidemics, especially when the number of patients increases rapidly, as seen during the …
Evaluating the Brexit and COVID-19's influence on the UK economy: a data analysis
The economic landscape of the United Kingdom has been significantly shaped by the
intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the …
intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the …
An NMR-based model to investigate the metabolic phenoreversion of COVID-19 patients throughout a longitudinal study
R Gil-Redondo, R Conde, M Bizkarguenaga… - Metabolites, 2022 - mdpi.com
After SARS-CoV-2 infection, the molecular phenoreversion of the immunological response
and its associated metabolic dysregulation are required for a full recovery of the patient. This …
and its associated metabolic dysregulation are required for a full recovery of the patient. This …
Predicting health insurance uptake in Kenya using Random Forest: An analysis of socio-economic and demographic factors
Universal Health Coverage (UHC) is a global objective aimed at providing equitable access
to essential and cost-effective healthcare services, irrespective of individuals' financial …
to essential and cost-effective healthcare services, irrespective of individuals' financial …
[PDF][PDF] An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study. Metabolites. 2022; 12: 1206
R Gil-Redondo, R Conde, M Bizkarguenaga… - 2022 - researchportal.murdoch.edu.au
After SARS-CoV-2 infection, the molecular phenoreversion of the immunological response
and its associated metabolic dysregulation are required for a full recovery of the patient. This …
and its associated metabolic dysregulation are required for a full recovery of the patient. This …
COVID-19Disease Diagnosis using Artificial Intelligence based on Gene Expression: A Review
QK Kadhim - Sumer journal for Pure Science, 2023 - journals.sujps.com
Clinical symptoms of COVID-19, which can cause pulmonary inflammation, are varied. The
use of microarray technology to examine variations in gene expression in particular …
use of microarray technology to examine variations in gene expression in particular …
[PDF][PDF] Recommender system for the efficient treatment of COVID-19 using a convolutional neural network model and image similarity. Diagnostics. 2022; 12: 2700
Background: Hospitals face a significant problem meeting patients' medical needs during
epidemics, especially when the number of patients increases rapidly, as seen during the …
epidemics, especially when the number of patients increases rapidly, as seen during the …
[PDF][PDF] Evaluating the Brexit and COVID-19's influence on the UK economy
The economic landscape of the United Kingdom has been significantly shaped by the
intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the …
intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the …
Enhancing Algorithmic Early Warning Systems With Dynamic Selection to Predict High School Graduation Outcomes
JT Stark - 2024 - search.proquest.com
This study highlights the role and importance of advanced, machine learning-driven
predictive models in enhancing the accuracy and timeliness of identifying students at-risk of …
predictive models in enhancing the accuracy and timeliness of identifying students at-risk of …